3. Business Intelligence is a technology for
gathering, storing, analyzing & providing access to data to
help enterprise users make better business decisions.
It is the processes that help us to change data into
information, information into knowledge and knowledge into
plans that guide organization.
5. Data mining is “the extraction of hidden predictive
information from large database”.
Data mining software is one of a number of analytical tools for
analyzing data.
Data mining is a powerful new technology to help companies
to extract important information from their data warehouse.
6. Nowadays data mining is primarily used by companies with a
strong consumer focus - retail, financial, communication, and
marketing organizations.
It enables these companies to determine relationships among
"internal" factors such as price, product positioning, or staff
skills, and "external" factors such as economic
indicators, competition, and customer demographics.
7. Extract
and load
operation
data .
Analyze the
data by
application
software.
Provide
data to
business .
Store and
manage
the data
in a
multidime
nsional
database
system.
Present
the data
in a useful
format, su
ch as a
graph or
table.
8. Data mining is having lot of importance because of its huge
applicability.
It is being used increasingly in business applications for
understanding and then predicting valuable data.
Data Mining is used in several applications like consumer
behavior, direct marketing etc.
9. A data warehouse is a place where data is stored for analysis
and security purposes.
A data warehouse is either a single computer or many
computers (servers) tied together to create one giant computer
system.
11. Online Transaction Processing(OLTP): -
It is a data warehouse model, is built for speed and ease of use.
Online Analytical Processing(OLAP): -
It is more difficult to use and adds an extra step of analysis
within the data.
12. Using the data in a warehouse can help user locate trends and
focus on decision making.
Data warehouses also increase the consistency of the data .
Before loading data into the data warehouse, inconsistencies
are identified and resolved. This greatly simplifies reporting
and analysis.
13. Data warehouse is time consuming to create.
It is need to create a cohesive.
Over their life, data warehouses can have high costs.
15. It is a process of inspecting, cleaning, transforming, and
modeling data with the goal of highlighting useful
information, suggesting conclusions, and supporting decision
making.
Business intelligence covers data analysis that relies heavily on
aggregation, focusing on business information.
